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Hybrid Approach for Bots Detection in Social Networks Based on Topological, Textual and Statistical Features

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1156))

Abstract

The paper presents a hybrid approach to social network analysis for obtaining information on suspicious user profiles. The offered approach is based on integration of statistical techniques, data mining and visual analysis. The advantage of the proposed approach is that it needs limited kinds of social network data (“likes” in groups and links between users) which is often in open access. The results of experiments confirming the applicability of the proposed approach are outlined.

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Acknowledgements

This research was supported by the Russian Science Foundation under grant number 18-71-10094 in SPIIRAS.

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Correspondence to Lidia Vitkova .

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Vitkova, L., Kotenko, I., Kolomeets, M., Tushkanova, O., Chechulin, A. (2020). Hybrid Approach for Bots Detection in Social Networks Based on Topological, Textual and Statistical Features. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19). IITI 2019. Advances in Intelligent Systems and Computing, vol 1156. Springer, Cham. https://doi.org/10.1007/978-3-030-50097-9_42

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